DocumentCode :
3189215
Title :
Software Rejuvenation in Eucalyptus Cloud Computing Infrastructure: A Method Based on Time Series Forecasting and Multiple Thresholds
Author :
Araujo, Jean ; Matos, Rubens ; Maciel, Paulo ; Vieira, Francisco ; Matias, Rivalino ; Trivedi, Kishor S.
Author_Institution :
Inf. Center, Fed. Univ. of Pernambuco, Recife, Brazil
fYear :
2011
fDate :
Nov. 29 2011-Dec. 2 2011
Firstpage :
38
Lastpage :
43
Abstract :
The need for reliability and availability has increased in modern applications, in order to handle rapidly growing demands while providing uninterrupted service. Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similarly to existing grid and HPC resource management and programming systems. This work proposes an approach that uses time series to schedule rejuvenation, so as to reduce the downtime by predicting the proper moment to perform the rejuvenation.We show the results of our approach through experiments using the Eucalyptus cloud computing framework.
Keywords :
cloud computing; grid computing; resource allocation; scheduling; software reliability; time series; HPC resource management; cloud computing systems; computational resources; data resources; eucalyptus cloud computing infrastructure; grid resource management; programming systems; rejuvenation scheduling; software rejuvenation; time series forecasting; uninterrupted service; Aging; Autoregressive processes; Cloud computing; Monitoring; Time series analysis; Yttrium; Software aging and rejuvenation; cloud computing; dependability analysis; time series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Aging and Rejuvenation (WoSAR), 2011 IEEE Third International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4673-0739-0
Type :
conf
DOI :
10.1109/WoSAR.2011.18
Filename :
6141723
Link To Document :
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